Big data and digitalization | European Marine Board

Big data and digitalization

In light of the rapid advances in digitalization in ocean technology and data collection, there is a need to address how big data will both impact and help drive the future of marine science.

Output

One of the first activities associated with Big Data will be a workshop held at European Maritime Day 2019, on 16-17 May 2019 in Lisbon, organized together with Campus Mondial de la Mer and EMODnet. 

Background

Data-driven innovation is driving a decline in the cost of data collection, storage and processing. Together with the increasing use of the internet, particularly for socio-economic activities, huge volumes of data are being generated and used – commonly referred to as “Big Data”.

The Big Data revolution, together with open science, brings about novel ways of understanding and addressing environmental challenges. This enables scientists in their research, including cloud based analyses of big geospatial data for the simulation of events e.g. flooding and enabling policy-makers to make informed and evidence-based decisions based on large, integrated data sets, e.g. on climate change. But at the same time it presents new challenges for policy makers, scientific institutions and individual researchers in terms of ways to store, analyze, manage and share data.

It is clear that in the future, the amount of ocean data produced, and its speed of delivery will increase significantly. Therefore, it is crucial to assess the marine data management requirements and how current systems e.g. databases and cloud storage may need to evolve to ensure data are accessible and retain their quality and provenance. Currently there are no definitive solutions.

Objectives

The main objectives of this working group include, but are not limited to:

  • Highlight relevant developments of Big Data to the marine scientific community, including the latest innovations, challenges and opportunities regarding, among others, infrastructure, data communication, cloud architecture;
  • Assess and set the development of Big Data applications in marine science within the larger frame of the Internet of Things for the ocean (“Ocean of Things”);
  • Assess existing and new approaches in Big Data analysis (e.g. heterogeneous data fusion and “ocean analytics” and heterogeneous data fusion in coastal zones) for classification, clustering, regression, and statistical learning, using specific topics and examples;
  • Propose solutions/recommendations on how to bridge the gap between Big Data analysis in marine science and ocean modelling in order to offer new approaches to more holistic environmental and earth science; and
  • Raise awareness and inform European (e.g. EC) and National funders and wider policy makers about how the European marine science community can utilize Big Data and the gaps in knowledge, hardware (e.g. computer storage, facilities?), software and human resources (skills etc.) that will be needed in the coming years.


Meetings

9-10 May 2019, Ostend, Belgium, news item here


Members

Chair - Lionel Guidi, Laboratoire d'Océanographie de Villefranche-sur-Mer, France

Co-chair - Antonio Fernandez Guerra, Max Planck Institute for Marine Microbiology, Germany

Carlos Canchaya, University of Vigo, Spain

Edward Curry, Data Science Institute at NUI Galway, Ireland

Federica Foglini, Italian National Research Council (CNR), Italy

Jean-Olivier Irisson, Laboratoire d'Océanographie de Villefranche-sur-Mer, France

Ketil Malde, University of Bergen and Institute of Marine Research (IMR), Norway

C. Tara Marshall, University of Aberdeen, UK

Carlos Obst, University of Gothenburg, Sweden

Rita P. Ribeiro, University of Porto and INESC TEC - LIAAD, Portugal

Jerry Tjiputra, NORCE Norwegian Research Centre AS, Norway

 

Contact at European Marine Board Secretariat: Britt Alexander Email